Scripting (Python) Feature Class content into Shapefiles based on an UTM data structure

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04-26-2016 02:49 AM
EduardoAbreu-Freire
New Contributor III

Consider a Feature Class (part of an Enterprise GDB content) and two of its fields are "UTM_grid" and the "OID".

Scripting with python 2.7 for ArcGIS 10.3.

"UTM_grid" field was broken down into "UTM_block" + "UTM_sheet" and then using a dictionary and list structure UTM_block-->UTM_sheet-->OID was organized with this syntax:

{ 'UTM_block_1' : { 'UTM_sheet_A' : [ oid_1 , oid_2 ] }, { UTM_sheet_2 : [ oid_3 , oid_4, oid_5 ] } }

We need to create **shapefiles** with features (identified by the object value - oid) based on the follow data structure (OIDs will be organized regarding an UTM/location based structure):

- UTM_block_* will be a folder

- UTM-sheet_* its subfolder.

- List of objects (OIDs) will populate the shapefile.

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Another point we have to deal with is that the shapefile should only have some fields of the original Feature Class:

We have used fieldmappings and arcpy.FeatureClassToFeatureClass_conversion() to create a non-UTM-organized shapefile from a Feature Class with the fields that we need.

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Now the problem is how to process the **feature export** to get UTM-organized shapefiles! How can we manage it?

Bellow is what we have now inside a function:

    with arcpy.da.SearchCursor(feature_class, ['UTM_grid , 'OBJECTID']) as cursor:

        dic = dict()

        for row in cursor:

            UTM_grid_value = row[0]

            oid_value = row[1]

            try:

                b_s_split = UTM_grid_value.split('_')     # split into block & sheet

            except Exception, e:

                pass

                print(UTM_grid_value)

                print(e)

            else:

                # create folders & subfolders (blocks & sheets) in a directory

                dic.setdefault( b_s_split[0], {} ).setdefault( b_s_split[1], [] ).append( oid_value )

                dir_path = os.path.dirname("E:\\")     # full path to directory

                dirs = [ [b_s_split[0]] , [b_s_split[1]] ]

             

                for item in itertools.product(*dirs):

                    if not os.path.isdir(os.path.join(dir_path, *item)):

                        os.makedirs(os.path.join(dir_path, *item))

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21 Replies
BlakeTerhune
MVP Regular Contributor

My suggestion would be to do something like this where you can specify the beginning of the value. Assuming the structure of the FOL_250K field values will stay the same, you can specify just the block or the block and sheet.

# Get list of distinct UTM values

utm_field = "FOL_250K"

utm_prefix_filter = arcpy.GetParameterAsText(0)

if utm_prefix_filter:

    where_clause = "FOL_250K LIKE '{}%'".format(utm_prefix_filter)

else:

    where_clause = ""

sql_prefix = "DISTINCT {}".format(utm_field)

sql_suffix = None

distinct_utm = [

    i[0] for i in arcpy.da.SearchCursor(

        feature_class, utm_field, where_clause, sql_clause=(sql_prefix, sql_suffix)

    )

]

BlakeTerhune
MVP Regular Contributor

Sorry, I just realized that where_clause doesn't use the utm_field variable I had set up. Line 5 from the code above should be:

where_clause = "{} LIKE '{}%'".format(utm_field, utm_prefix_filter)